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Center for Drug Evaluation and Research (CDER) | Saint Louis, Missouri | United States | 16 days ago
the resolution of conventional analytical methods, such as LC-UV and LC-UV/MS, to meet the escalating analytical demands. Robust and sensitive analytics leveraging modern technologies are imperative to advance
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English PhD Research Fellow in Control and Optimization for Multi-Agent UAV Systems Apply for this job See advertisement About the position We invite applications for position as PhD Research Fellow at
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publications, conference presentations, and robust coding practices, including version control and reproducible data pipelines. Proficiency in Python, ML frameworks such as TensorFlow or PyTorch, statistical
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for the Pitkow Lab. Core Responsibilities Include: Develop computational methods for inference and control that improve the reliable and efficient operation of autonomous agents in complex, uncertain environments
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and validate a prototype microscope with enhanced sensitivity and contrast, evaluate label‑free and fluorescence imaging modes, and develop robust hardware/software workflows for low‑light measurements
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essential for developing reliable predictive models and ensuring safe and robust component design. This position is part of the CastAl project, which aims to identify the mechanisms governing stochastic
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for developing reliable predictive models and ensuring safe and robust component design. This position is part of the CastAl project, which aims to identify the mechanisms governing stochastic fracture in HPDC
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, motivated Postdoctoral Fellow to explore how ion channels and lipid transporters control cell physiology and contribute to human disease. Our interdisciplinary team integrates electrophysiology, quantitative
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to design and develop a robust and scalable software system for autonomous agents navigating immersive 3D virtual environments (e.g., Roblox, Minecraft). Design and develop robust and scalable game agents
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holder will develop and implement mechanistic models to analyse and predict the behaviour of pharmaceutical processes. Your work will address key challenges within these processes, constructing robust